The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2021-05-22"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "166458217 (up from 166139027 yesterday: 0.19 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "3450259 (up from 3442873 yesterday: 0.21 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 14262058

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.07



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 33104800 19694 0.06 712526 589703 480 0.08 1.78
India 26289290 0 0.00 6731833 295525 0 0.00 1.12
Brazil 16047439 76490 0.48 1321464 448208 1899 0.43 2.79
France 5979597 228 0.00 276092 108345 2 0.00 1.81
Turkey 5178648 8697 0.17 329240 46071 231 0.50 0.89
Russia 4935302 8585 0.17 175400 116144 380 0.33 2.35
United Kingdom 4476297 2524 0.06 42140 127978 6 0.00 2.86
Italy 4188190 4714 0.11 152573 125153 125 0.10 2.99
Germany 3653019 6419 0.18 229119 87385 82 0.09 2.39
Spain 3636453 0 0.00 112376 79620 0 0.00 2.19
Argentina 3514683 32171 0.92 520818 73688 297 0.40 2.10
Colombia 3210787 18737 0.59 333041 84228 509 0.61 2.62
Poland 2864546 1515 0.05 65929 72882 191 0.26 2.54
Iran 2823887 8005 0.28 307730 78381 187 0.24 2.78
Mexico 2395330 2586 0.11 47550 221597 341 0.15 9.25
Ukraine 2237240 4730 0.21 104498 51260 184 0.36 2.29
Peru 1920851 10491 0.55 121406 67807 554 0.82 3.53
Indonesia 1758898 0 0.00 86018 48887 0 0.00 2.78
Czechia 1657558 684 0.04 24626 30012 22 0.07 1.81
Netherlands 1649960 3179 0.19 121207 17810 20 0.11 1.08
South Africa 1632571 4236 0.26 49729 55772 53 0.10 3.42
Canada 1363519 3255 0.24 128607 25180 32 0.13 1.85
Chile 1323413 7500 0.57 119658 28386 96 0.34 2.14
Philippines 1178217 6814 0.58 131564 19946 183 0.93 1.69
Iraq 1164149 3655 0.31 93783 16158 21 0.13 1.39
Romania 1075236 455 0.04 18664 29885 59 0.20 2.78
Sweden 1058341 0 0.00 84737 14366 0 0.00 1.36
Belgium 1047128 2516 0.24 53694 24823 14 0.06 2.37
Pakistan 900552 3084 0.34 70619 20251 74 0.37 2.25
Portugal 844811 523 0.06 7864 17017 0 0.00 2.01
Israel 839308 18 0.00 827 6397 0 0.00 0.76
Hungary 801672 647 0.08 20373 29475 48 0.16 3.68
Bangladesh 787726 1028 0.13 27142 12348 38 0.31 1.57
Jordan 726432 0 0.00 14355 9295 0 0.00 1.28
Japan 715880 4985 0.70 116627 12203 84 0.69 1.70
Serbia 709673 404 0.06 18742 6766 14 0.21 0.95
Switzerland 687353 1201 0.18 27379 10775 7 0.07 1.57
Austria 640876 583 0.09 20391 10541 7 0.07 1.64
United Arab Emirates 554516 1596 0.29 32568 1648 4 0.24 0.30
Lebanon 538218 331 0.06 10710 7670 6 0.08 1.43
Morocco 516812 363 0.07 5250 9119 4 0.04 1.76
Nepal 505643 8591 1.73 176750 6153 129 2.14 1.22
Malaysia 505115 6320 1.27 93521 2199 50 2.33 0.44
Saudi Arabia 439847 1142 0.26 21436 7237 13 0.18 1.65
Kazakhstan 427873 2476 0.58 49432 3423 14 0.41 0.80
Ecuador 417840 1219 0.29 33251 20180 73 0.36 4.83
Bulgaria 416565 148 0.04 11719 17487 13 0.07 4.20
Greece 388929 1503 0.39 42507 11734 37 0.32 3.02
Slovakia 388719 190 0.05 5999 12286 6 0.05 3.16
Belarus 384773 1471 0.38 24791 2761 9 0.33 0.72
Panama 373774 466 0.12 8930 6328 7 0.11 1.69
Croatia 353735 518 0.15 19506 7883 27 0.34 2.23
Bolivia 346070 3005 0.88 39543 13857 77 0.56 4.00
Georgia 336840 1071 0.32 25383 4602 33 0.72 1.37
Tunisia 334099 1266 0.38 23365 12182 41 0.34 3.65
Azerbaijan 332235 352 0.11 11913 4851 12 0.25 1.46
Paraguay 330457 3228 0.99 49434 8235 120 1.48 2.49
West Bank and Gaza 305201 233 0.08 8739 3459 7 0.20 1.13
Costa Rica 299219 0 0.00 48228 3765 0 0.00 1.26
Kuwait 298223 1017 0.34 22953 1724 5 0.29 0.58
Dominican Republic 282685 1055 0.37 15824 3606 3 0.08 1.28
Denmark 273366 753 0.28 20626 2508 1 0.04 0.92
Lithuania 270376 1013 0.38 21721 4173 12 0.29 1.54
Ethiopia 268901 381 0.14 10839 4068 8 0.20 1.51
Uruguay 262009 3469 1.34 61101 3811 51 1.36 1.45
Ireland 254870 0 0.00 5433 4941 0 0.00 1.94
Moldova 254601 102 0.04 3441 6072 5 0.08 2.38
Egypt 252690 1151 0.46 24106 14670 59 0.40 5.81
Slovenia 251531 383 0.15 10222 4349 1 0.02 1.73
Guatemala 247106 950 0.39 18629 7996 19 0.24 3.24
Honduras 232141 581 0.25 18974 6143 10 0.16 2.65
Venezuela 222052 1010 0.46 23187 2499 16 0.64 1.13
Armenia 221880 181 0.08 5284 4386 15 0.34 1.98
Qatar 215160 330 0.15 8858 543 2 0.37 0.25
Bahrain 214870 2719 1.28 36873 809 15 1.89 0.38
Oman 208607 0 0.00 15354 2239 0 0.00 1.07
Bosnia and Herzegovina 203150 0 0.00 4689 9108 0 0.00 4.48
Libya 182899 0 0.00 5391 3105 0 0.00 1.70
Kenya 168108 573 0.34 8055 3049 6 0.20 1.81
Nigeria 165979 35 0.02 869 2067 0 0.00 1.25
Sri Lanka 161242 2909 1.84 51380 1178 45 3.97 0.73
North Macedonia 155028 46 0.03 2447 5296 16 0.30 3.42
Burma 143228 17 0.01 397 3216 0 0.00 2.25
Korea, South 135929 585 0.43 12689 1931 5 0.26 1.42
Albania 132176 23 0.02 991 2442 1 0.04 1.85
Cuba 131832 1289 0.99 24210 863 14 1.65 0.65
Latvia 130712 441 0.34 11342 2323 14 0.61 1.78
Estonia 128489 180 0.14 6039 1240 1 0.08 0.97
Algeria 126651 217 0.17 4340 3411 6 0.18 2.69
Thailand 126118 3052 2.48 59074 759 24 3.27 0.60
Norway 121963 452 0.37 8704 781 0 0.00 0.64
Kosovo 106770 0 0.00 3132 2244 0 0.00 2.10
China 102853 20 0.02 336 4846 0 0.00 4.71
Kyrgyzstan 102186 308 0.30 6434 1743 8 0.46 1.71

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 3776262 643 0.02 32581 62911 49 0.08 1.67 95572.00 1592.19 1 in 10
Texas 2940679 982 0.03 44869 51209 39 0.08 1.74 101417.13 1766.08 1 in 10
Florida 2308266 3406 0.15 69329 36463 22 0.06 1.58 107472.50 1697.71 1 in 9
New York 2094245 1329 0.06 42223 53112 17 0.03 2.54 107653.56 2730.19 1 in 9
Illinois 1374479 1109 0.08 36719 24976 41 0.16 1.82 108467.36 1970.99 1 in 9
Pennsylvania 1195979 1236 0.10 40839 26978 36 0.13 2.26 93421.34 2107.33 1 in 11
Georgia 1119614 602 0.05 18127 20661 24 0.12 1.85 105450.64 1945.95 1 in 9
Ohio 1096617 871 0.08 22598 19709 0 0.00 1.80 93815.35 1686.10 1 in 11
New Jersey 1013787 378 0.04 14975 26084 14 0.05 2.57 114137.05 2936.66 1 in 9
North Carolina 995754 0 0.00 26002 12958 0 0.00 1.30 94941.46 1235.50 1 in 11
Michigan 986435 1206 0.12 46260 20140 89 0.44 2.04 98773.32 2016.65 1 in 10
Arizona 876411 645 0.07 12840 17547 16 0.09 2.00 115091.70 2304.30 1 in 9
Tennessee 860084 0 0.00 12654 12380 0 0.00 1.44 125868.89 1811.75 1 in 8
Indiana 739626 665 0.09 18049 13553 6 0.04 1.83 109863.63 2013.15 1 in 9
Massachusetts 704796 451 0.06 14517 17818 5 0.03 2.53 101416.75 2563.92 1 in 10
Virginia 672793 481 0.07 12240 11097 23 0.21 1.65 78822.74 1300.10 1 in 13
Wisconsin 672266 357 0.05 11057 7748 3 0.04 1.15 115461.33 1330.71 1 in 9
Missouri 602900 538 0.09 10213 9420 3 0.03 1.56 98233.33 1534.84 1 in 10
Minnesota 598327 596 0.10 20803 7456 9 0.12 1.25 106093.27 1322.07 1 in 9
South Carolina 590645 331 0.06 11089 9674 2 0.02 1.64 114717.00 1878.92 1 in 9
Alabama 541928 255 0.05 13619 11112 32 0.29 2.05 110525.71 2266.28 1 in 9
Colorado 536969 841 0.16 24165 6503 6 0.09 1.21 93244.25 1129.24 1 in 11
Louisiana 467815 0 0.00 9234 10522 0 0.00 2.25 100631.48 2263.38 1 in 10
Maryland 458048 521 0.11 9708 8990 17 0.19 1.96 75764.51 1487.01 1 in 13
Kentucky 455575 425 0.09 10804 6705 7 0.10 1.47 101971.43 1500.78 1 in 10
Oklahoma 451830 0 0.00 3525 6918 0 0.00 1.53 114185.83 1748.31 1 in 9
Washington 427494 0 0.00 22785 5702 0 0.00 1.33 56139.20 748.80 1 in 18
Utah 404246 262 0.06 6513 2290 1 0.04 0.57 126092.11 714.30 1 in 8
Iowa 370519 156 0.04 5290 6035 0 0.00 1.63 117436.06 1912.79 1 in 9
Connecticut 346325 0 0.00 7092 8212 0 0.00 2.37 97138.04 2303.32 1 in 10
Arkansas 340040 177 0.05 4072 5816 5 0.09 1.71 112677.18 1927.22 1 in 9
Nevada 322352 0 0.00 6914 5552 0 0.00 1.72 104654.44 1802.51 1 in 10
Mississippi 316272 0 0.00 4372 7279 0 0.00 2.30 106268.87 2445.78 1 in 9
Kansas 314482 0 0.00 3882 5058 0 0.00 1.61 107946.48 1736.17 1 in 9
Nebraska 222884 0 0.00 2852 2248 0 0.00 1.01 115220.78 1162.11 1 in 9
New Mexico 201868 0 0.00 4135 4131 0 0.00 2.05 96272.99 1970.12 1 in 10
Oregon 198356 505 0.26 12759 2618 5 0.19 1.32 47029.01 620.71 1 in 21
Idaho 191068 0 0.00 3412 2080 0 0.00 1.09 106618.90 1160.67 1 in 9
West Virginia 159735 0 0.00 6237 2772 0 0.00 1.74 89379.89 1551.08 1 in 11
Rhode Island 151258 0 0.00 3072 2704 0 0.00 1.79 142782.30 2552.48 1 in 7
Puerto Rico 137763 153 0.11 5185 2472 1 0.04 1.79 43135.94 774.03 1 in 23
South Dakota 123911 0 0.00 1251 2001 0 0.00 1.61 140066.40 2261.89 1 in 7
Montana 111168 7 0.01 2183 1603 -1 -0.06 1.44 104014.12 1499.84 1 in 10
North Dakota 109577 68 0.06 1938 1537 0 0.00 1.40 143790.14 2016.90 1 in 7
Delaware 108280 114 0.11 3659 1659 5 0.30 1.53 111197.37 1703.70 1 in 9
New Hampshire 98244 76 0.08 3081 1344 3 0.22 1.37 72253.59 988.45 1 in 14
Alaska 69902 0 0.00 1754 369 0 0.00 0.53 95553.93 504.41 1 in 10
Maine 66863 158 0.24 5247 819 1 0.12 1.22 49741.41 609.28 1 in 20
Wyoming 59661 0 0.00 1519 713 0 0.00 1.20 103084.36 1231.95 1 in 10
District of Columbia 48727 38 0.08 1030 1125 0 0.00 2.31 69042.96 1594.05 1 in 14
Hawaii 35819 93 0.26 1849 494 0 0.00 1.38 25298.19 348.90 1 in 40
Vermont 24084 19 0.08 1052 255 0 0.00 1.06 38596.83 408.66 1 in 26

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 63941224 3776262 5.91 3925296 32581 0.83 1618264.4
2 Texas 24064244 2940679 12.22 982897 44869 4.56 829919.4
3 Florida 23768069 2308266 9.71 1085635 69329 6.39 1106637.5
4 New York 54669315 2094245 3.83 3457922 42223 1.22 2810247.2
5 Illinois 24124753 1374479 5.70 1458420 36719 2.52 1903811.1
6 Pennsylvania 13773878 1195979 8.68 734166 40839 5.56 1075917.0
7 Georgia 8653100 1119614 12.94 332415 18127 5.45 814990.6
8 Ohio 12969909 1096617 8.46 567012 22598 3.99 1109572.9
9 New Jersey 14398524 1013787 7.04 788509 14975 1.90 1621055.6
10 North Carolina 11852042 995754 8.40 491811 26002 5.29 1130048.4
11 Michigan 13543534 986435 7.28 677446 46260 6.83 1356135.8
12 Arizona 9557673 876411 9.17 389482 12840 3.30 1255129.0
13 Tennessee 7899268 860084 10.89 240685 12654 5.26 1156017.4
14 Indiana 10282891 739626 7.19 495448 18049 3.64 1527414.8
15 Massachusetts 22586434 704796 3.12 1237225 14517 1.17 3250079.0
16 Virginia 7325788 672793 9.18 291830 12240 4.19 858270.9
17 Wisconsin 8637031 672266 7.78 358454 11057 3.08 1483405.6
18 Missouri 5472417 602900 11.02 194957 10213 5.24 891646.6
19 Minnesota 8986490 598327 6.66 451492 20803 4.61 1593453.3
20 South Carolina 6370873 590645 9.27 245306 11089 4.52 1237371.7
21 Alabama 2590345 541928 20.92 86990 13619 15.66 528298.4
22 Colorado 8355146 536969 6.43 543315 24165 4.45 1450864.6
23 Louisiana 6750672 467815 6.93 259440 9234 3.56 1452134.0
24 Maryland 10208203 458048 4.49 518830 9708 1.87 1688512.0
25 Kentucky 5280973 455575 8.63 643124 10804 1.68 1182041.1
26 Oklahoma 4063340 451830 11.12 53700 3525 6.56 1026881.4
27 Washington 6905669 427494 6.19 377918 22785 6.03 906863.6
28 Utah 3401021 404246 11.89 113703 6513 5.73 1060843.9
29 Iowa 1458291 370519 25.41 30325 5290 17.44 462205.6
30 Connecticut 8378867 346325 4.13 322054 7092 2.20 2350124.1
31 Arkansas 3032679 340040 11.21 60229 4072 6.76 1004922.1
32 Nevada 3338437 322352 9.66 155102 6914 4.46 1083853.2
33 Mississippi 1923889 316272 16.44 36186 4372 12.08 646435.7
34 Kansas 1405615 314482 22.37 30617 3882 12.68 482479.8
35 Nebraska 2949661 222884 7.56 105107 2852 2.71 1524839.1
36 New Mexico 3442758 201868 5.86 168391 4135 2.46 1641887.8
37 Oregon 5005968 198356 3.96 317108 12759 4.02 1186884.8
38 Idaho 727414 191068 26.27 19345 3412 17.64 405908.3
39 West Virginia 2904807 159735 5.50 156711 6237 3.98 1625387.8
40 Rhode Island 4246683 151258 3.56 227662 3072 1.35 4008721.3
42 South Dakota 800838 123911 15.47 21291 1251 5.88 905250.5
43 Montana 1365413 111168 8.14 56989 2183 3.83 1277545.9
44 North Dakota 1552894 109577 7.06 30447 1938 6.37 2037752.8
45 Delaware 1816094 108280 5.96 101571 3659 3.60 1865024.8
46 New Hampshire 1962168 98244 5.01 103723 3081 2.97 1443077.2
47 Alaska 2224847 69902 3.14 124782 1754 1.41 3041298.9
48 Maine 2224916 66863 3.01 145168 5247 3.61 1655182.4
49 Wyoming 749544 59661 7.96 23496 1519 6.46 1295088.3
50 District of Columbia 1594515 48727 3.06 69799 1030 1.48 2259323.1
51 Hawaii 1561802 35819 2.29 122523 1849 1.51 1103067.2
52 Vermont 1678768 24084 1.43 101584 1052 1.04 2690380.8

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 10382386 830376 828 0.10 8.00 1566 298 35416 33462 4.03
Veneto 7786476 421791 234 0.06 5.42 437 72 11296 11525 2.73
Campania 4790260 415337 565 0.14 8.67 1011 82 72531 7069 1.70
Emilia-Romagna 6097541 381776 340 0.09 6.26 791 126 19338 13140 3.44
Piemonte 4384479 358188 400 0.11 8.17 893 105 8209 11577 3.23
Lazio 6787939 339199 494 0.15 5.00 1283 195 28334 8081 2.38
Puglia 2432468 248484 399 0.16 10.22 863 100 32794 6369 2.56
Toscana 4588599 239092 358 0.15 5.21 652 144 11552 6617 2.77
Sicilia 4372749 222654 350 0.16 5.09 662 104 13267 5737 2.58
Friuli Venezia Giulia 1982137 106737 39 0.04 5.38 50 10 5288 3777 3.54
Liguria 1571719 102239 60 0.06 6.50 194 43 2048 4304 4.21
Marche 1211675 101837 125 0.12 8.40 186 39 4530 3004 2.95
Abruzzo 1541732 73621 128 0.17 4.78 179 17 5901 2466 3.35
P.A. Bolzano 1508868 72539 43 0.06 4.81 14 4 862 1172 1.62
Calabria 844539 65716 161 0.25 7.78 294 24 11173 1136 1.73
Sardegna 1270593 56409 35 0.06 4.44 184 32 13484 1446 2.56
Umbria 1299161 56061 36 0.06 4.32 80 12 2030 1388 2.48
P.A. Trento 807799 45126 24 0.05 5.59 32 13 611 1354 3.00
Basilicata 365356 25977 67 0.26 7.11 84 5 4542 570 2.19
Molise 226201 13547 3 0.02 5.99 15 5 223 488 3.60
Valle d’Aosta 126418 11484 28 0.24 9.08 18 0 315 471 4.10

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Ontario 528516 1405 0.27 8575 11 0.13 1.62 35924.57 582.86 1 in 28
Quebec 366899 505 0.14 11081 6 0.05 3.02 42974.12 1297.89 1 in 23
Alberta 223632 621 0.28 2170 6 0.28 0.97 50674.05 491.71 1 in 20
British Columbia 141373 0 0.00 1667 0 0.00 1.18 27660.99 326.16 1 in 36
Manitoba 47977 473 1.00 1028 6 0.59 2.14 34828.61 746.27 1 in 29
Saskatchewan 45490 180 0.40 526 2 0.38 1.16 38496.50 445.13 1 in 26
Nova Scotia 5213 64 1.24 77 1 1.32 1.48 5333.23 78.78 1 in 188
New Brunswick 2115 2 0.09 43 0 0.00 2.03 2711.56 55.13 1 in 369
Newfoundland and Labrador 1230 4 0.33 6 0 0.00 0.49 2359.19 11.51 1 in 424
Nunavut 638 1 0.16 4 0 0.00 0.63 NA NA 1 in NA
Prince Edward Island 199 0 0.00 0 0 NaN 0.00 1258.24 0.00 1 in 795
Northwest Territories 127 0 0.00 0 0 NaN 0.00 2828.26 0.00 1 in 354
Yukon 84 0 0.00 2 0 0.00 2.38 2044.89 48.69 1 in 489
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 101176.04 1802.27 1 in 10
India 19633.53 220.71 1 in 51
Brazil 76671.95 2141.46 1 in 13
France 89261.04 1617.33 1 in 11
Turkey 64084.25 570.12 1 in 16
Russia 34154.34 803.76 1 in 29
United Kingdom 67373.52 1926.22 1 in 15
Italy 69249.17 2069.33 1 in 14
Germany 44123.92 1055.50 1 in 23
Spain 77935.13 1706.39 1 in 13
Argentina 79391.98 1664.51 1 in 13
Colombia 65432.79 1716.49 1 in 15
Poland 75422.49 1918.96 1 in 13
Iran 34794.07 965.76 1 in 29
Mexico 18539.71 1715.15 1 in 54
Ukraine NA NA 1 in NA
Peru 59709.39 2107.77 1 in 17
Indonesia 6662.49 185.18 1 in 150
Czechia 155639.25 2818.03 1 in 6
Netherlands 96039.58 1036.67 1 in 10

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 1238607 24180 1.95
Cook Illinois 550396 10213 1.86
Maricopa Arizona 547035 10010 1.83
Miami-Dade Florida 498094 6369 1.28
Harris Texas 398013 6390 1.61
Dallas Texas 302425 4055 1.34
Riverside California 300246 4602 1.53
San Bernardino California 297539 4744 1.59
San Diego California 279613 3751 1.34
Kings New York 278578 10360 3.72
Queens New York 275486 9882 3.59
Orange California 271589 5047 1.86
Tarrant Texas 259949 3477 1.34
Clark Nevada 249831 4376 1.75
Broward Florida 243396 3050 1.25
Bexar Texas 221664 3554 1.60
Suffolk New York 199991 3386 1.69
Nassau New York 182810 3167 1.73
Bronx New York 182006 6554 3.60
Wayne Michigan 163220 4957 3.04
Philadelphia Pennsylvania 151949 3594 2.37
Salt Lake Utah 150319 886 0.59
Palm Beach Florida 147609 2845 1.93
Orange Florida 141618 1292 0.91
Hillsborough Florida 141599 1802 1.27
New York New York 137312 4468 3.25
El Paso Texas 135843 2697 1.99
Middlesex Massachusetts 134526 3751 2.79
Westchester New York 129131 2275 1.76
Franklin Ohio 127306 1423 1.12
Hennepin Minnesota 123625 1740 1.41
Santa Clara California 119247 2116 1.77
Oakland Michigan 117168 2340 2.00
Milwaukee Wisconsin 116870 1375 1.18
Pima Arizona 116276 2409 2.07
Cuyahoga Ohio 114052 2153 1.89
Mecklenburg North Carolina 112738 963 0.85
Kern California 109630 1383 1.26
King Washington 108120 1559 1.44
Sacramento California 105604 1698 1.61
Bergen New Jersey 103993 2861 2.75
Gwinnett Georgia 102205 1169 1.14
Fresno California 102189 1698 1.66
Marion Indiana 101264 1757 1.74
Allegheny Pennsylvania 100799 1964 1.95
Duval Florida 99961 1471 1.47
Fairfield Connecticut 99788 2187 2.19
St. Louis Missouri 99623 2226 2.23
Macomb Michigan 99094 2408 2.43
Fulton Georgia 98120 1404 1.43
Providence Rhode Island 97640 1971 2.02
Essex Massachusetts 97256 2380 2.45
Shelby Tennessee 97076 1651 1.70
Utah Utah 96594 392 0.41
Essex New Jersey 93800 2969 3.17
Suffolk Massachusetts 92499 1833 1.98
Middlesex New Jersey 91907 2345 2.55
New Haven Connecticut 91552 2111 2.31
DuPage Illinois 91352 1289 1.41
Collin Texas 91277 832 0.91
Hidalgo Texas 90738 2866 3.16
Davidson Tennessee 89940 946 1.05
Erie New York 88885 1782 2.00
Alameda California 88502 1679 1.90
Wake North Carolina 88197 723 0.82
Hudson New Jersey 87760 2266 2.58
Oklahoma Oklahoma 87025 1221 1.40
Prince George’s Maryland 84746 1496 1.77
Hartford Connecticut 83675 2418 2.89
Travis Texas 83524 1017 1.22
Jefferson Kentucky 81602 1201 1.47
Ventura California 81204 1021 1.26
Pinellas Florida 80986 1656 2.04
Hamilton Ohio 80688 1226 1.52
Jefferson Alabama 80041 1535 1.92
Cobb Georgia 79180 1070 1.35
Worcester Massachusetts 76846 2226 2.90
Fairfax Virginia 76827 1087 1.41
Will Illinois 76233 1006 1.32
Denton Texas 75693 760 1.00
Ocean New Jersey 75569 2145 2.84
Monmouth New Jersey 75297 1612 2.14
Greenville South Carolina 74923 1010 1.35
Tulsa Oklahoma 74893 1061 1.42
Richmond New York 74357 1817 2.44
San Joaquin California 73544 1402 1.91
Lee Florida 72973 995 1.36
Denver Colorado 72655 820 1.13
Passaic New Jersey 72652 1911 2.63
Kent Michigan 72181 834 1.16
Douglas Nebraska 71664 716 1.00
Union New Jersey 71221 1960 2.75
Montgomery Maryland 70677 1540 2.18
Polk Florida 70419 1362 1.93
Montgomery Pennsylvania 69810 1709 2.45
Contra Costa California 69245 810 1.17
El Paso Colorado 68836 828 1.20
Fort Bend Texas 68394 676 0.99
Lake Illinois 67768 996 1.47
Monroe New York 67672 1090 1.61

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc